Overview

Dataset statistics

Number of variables22
Number of observations48
Missing cells15
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.8 KiB
Average record size in memory187.8 B

Variable types

Categorical4
Text3
Boolean6
Numeric9

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,소방대피훈련여부,소방대피훈련일자,가스점검여부,가스점검일자,소방안전점검여부,소방안전점검일자,전기설비점검여부,전기설비점검일자,놀이시설 안전검사 대상여부,놀이시설 안전검사 점검일자,놀이시설 안전검사 점검결과,CCTV 설치여부,CCTV 총 설치수,CCTV 건물 안 설치수,CCTV 건물 밖 설치수,공시차수,주소
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-20818/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
소방안전점검여부 has constant value ""Constant
전기설비점검여부 has constant value ""Constant
CCTV 설치여부 has constant value ""Constant
소방대피훈련여부 is highly imbalanced (75.0%)Imbalance
가스점검여부 is highly imbalanced (85.1%)Imbalance
소방대피훈련일자 has 2 (4.2%) missing valuesMissing
가스점검여부 has 1 (2.1%) missing valuesMissing
가스점검일자 has 2 (4.2%) missing valuesMissing
놀이시설 안전검사 점검일자 has 10 (20.8%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
CCTV 건물 안 설치수 has 1 (2.1%) zerosZeros

Reproduction

Analysis started2024-03-13 13:50:51.007168
Analysis finished2024-03-13 13:50:51.241330
Duration0.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
서울특별시교육청
48 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시교육청
2nd row서울특별시교육청
3rd row서울특별시교육청
4th row서울특별시교육청
5th row서울특별시교육청

Common Values

ValueCountFrequency (%)
서울특별시교육청 48
100.0%

Length

2024-03-13T22:50:51.304483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:50:51.402462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 48
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
강서양천교육지원청
48 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강서양천교육지원청
2nd row강서양천교육지원청
3rd row강서양천교육지원청
4th row강서양천교육지원청
5th row강서양천교육지원청

Common Values

ValueCountFrequency (%)
강서양천교육지원청 48
100.0%

Length

2024-03-13T22:50:51.503828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:50:51.598468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강서양천교육지원청 48
100.0%

유치원코드
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-13T22:50:51.803279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1728
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row1dfcc6e7-c6ff-4843-b970-cfba072320b4
2nd row1ecec08c-ed7f-b044-e053-0a32095ab044
3rd row1ecec08c-ed80-b044-e053-0a32095ab044
4th row1ecec08c-ed81-b044-e053-0a32095ab044
5th row1ecec08c-eec5-b044-e053-0a32095ab044
ValueCountFrequency (%)
1dfcc6e7-c6ff-4843-b970-cfba072320b4 1
 
2.1%
1ecec08c-ed7f-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-08bb-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-0120-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-0121-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-018d-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-02b0-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-04c8-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-054c-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-054d-b044-e053-0a32095ab044 1
 
2.1%
Other values (38) 38
79.2%
2024-03-13T22:50:52.174338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 294
17.0%
4 192
11.1%
- 192
11.1%
e 149
8.6%
c 132
7.6%
a 109
 
6.3%
5 104
 
6.0%
3 99
 
5.7%
b 99
 
5.7%
8 66
 
3.8%
Other values (7) 292
16.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 967
56.0%
Lowercase Letter 569
32.9%
Dash Punctuation 192
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 294
30.4%
4 192
19.9%
5 104
 
10.8%
3 99
 
10.2%
8 66
 
6.8%
9 63
 
6.5%
2 58
 
6.0%
1 58
 
6.0%
6 20
 
2.1%
7 13
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
e 149
26.2%
c 132
23.2%
a 109
19.2%
b 99
17.4%
d 45
 
7.9%
f 35
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 192
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1159
67.1%
Latin 569
32.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 294
25.4%
4 192
16.6%
- 192
16.6%
5 104
 
9.0%
3 99
 
8.5%
8 66
 
5.7%
9 63
 
5.4%
2 58
 
5.0%
1 58
 
5.0%
6 20
 
1.7%
Latin
ValueCountFrequency (%)
e 149
26.2%
c 132
23.2%
a 109
19.2%
b 99
17.4%
d 45
 
7.9%
f 35
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1728
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 294
17.0%
4 192
11.1%
- 192
11.1%
e 149
8.6%
c 132
7.6%
a 109
 
6.3%
5 104
 
6.0%
3 99
 
5.7%
b 99
 
5.7%
8 66
 
3.8%
Other values (7) 292
16.9%

유치원명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-13T22:50:52.456273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length7.3125
Min length5

Characters and Unicode

Total characters351
Distinct characters66
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row서울강월초등학교병설유치원
2nd row새서울유치원
3rd row샘터유치원
4th row서울경인유치원
5th row솔샘유치원
ValueCountFrequency (%)
서울강월초등학교병설유치원 1
 
2.1%
새서울유치원 1
 
2.1%
한서유치원 1
 
2.1%
성보유치원 1
 
2.1%
어린이의정원유치원 1
 
2.1%
광영유치원 1
 
2.1%
서울강신초등학교병설유치원 1
 
2.1%
레인보우유치원 1
 
2.1%
세화유치원 1
 
2.1%
양서유치원 1
 
2.1%
Other values (38) 38
79.2%
2024-03-13T22:50:52.903303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 51
14.5%
치 48
13.7%
유 48
13.7%
서 18
 
5.1%
울 15
 
4.3%
등 14
 
4.0%
초 12
 
3.4%
학 12
 
3.4%
교 12
 
3.4%
병 12
 
3.4%
Other values (56) 109
31.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 351
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 51
14.5%
치 48
13.7%
유 48
13.7%
서 18
 
5.1%
울 15
 
4.3%
등 14
 
4.0%
초 12
 
3.4%
학 12
 
3.4%
교 12
 
3.4%
병 12
 
3.4%
Other values (56) 109
31.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 351
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 51
14.5%
치 48
13.7%
유 48
13.7%
서 18
 
5.1%
울 15
 
4.3%
등 14
 
4.0%
초 12
 
3.4%
학 12
 
3.4%
교 12
 
3.4%
병 12
 
3.4%
Other values (56) 109
31.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 351
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 51
14.5%
치 48
13.7%
유 48
13.7%
서 18
 
5.1%
울 15
 
4.3%
등 14
 
4.0%
초 12
 
3.4%
학 12
 
3.4%
교 12
 
3.4%
병 12
 
3.4%
Other values (56) 109
31.1%

설립유형
Categorical

Distinct4
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
사립(사인)
29 
공립(병설)
12 
사립(법인)
5 
공립(단설)
 
2

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공립(병설)
2nd row사립(사인)
3rd row사립(사인)
4th row공립(단설)
5th row사립(사인)

Common Values

ValueCountFrequency (%)
사립(사인) 29
60.4%
공립(병설) 12
25.0%
사립(법인) 5
 
10.4%
공립(단설) 2
 
4.2%

Length

2024-03-13T22:50:53.042572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:50:53.144794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 29
60.4%
공립(병설 12
25.0%
사립(법인 5
 
10.4%
공립(단설 2
 
4.2%

소방대피훈련여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size180.0 B
True
46 
False
 
2
ValueCountFrequency (%)
True 46
95.8%
False 2
 
4.2%
2024-03-13T22:50:53.241789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소방대피훈련일자
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)78.3%
Missing2
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean20222777
Minimum20180828
Maximum20230926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-13T22:50:53.350163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180828
5-th percentile20181002
Q120230525
median20230830
Q320230906
95-th percentile20230922
Maximum20230926
Range50098
Interquartile range (IQR)381.5

Descriptive statistics

Standard deviation16916.34
Coefficient of variation (CV)0.00083649936
Kurtosis1.6795484
Mean20222777
Median Absolute Deviation (MAD)94
Skewness-1.837483
Sum9.3024775 × 108
Variance2.8616256 × 108
MonotonicityNot monotonic
2024-03-13T22:50:53.492908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
20230904 6
 
12.5%
20230918 2
 
4.2%
20230831 2
 
4.2%
20230717 2
 
4.2%
20230830 2
 
4.2%
20230922 2
 
4.2%
20230530 1
 
2.1%
20230626 1
 
2.1%
20230718 1
 
2.1%
20230613 1
 
2.1%
Other values (26) 26
54.2%
(Missing) 2
 
4.2%
ValueCountFrequency (%)
20180828 1
2.1%
20180913 1
2.1%
20181001 1
2.1%
20181005 1
2.1%
20190809 1
2.1%
20190819 1
2.1%
20190830 1
2.1%
20200813 1
2.1%
20220823 1
2.1%
20220906 1
2.1%
ValueCountFrequency (%)
20230926 1
2.1%
20230925 1
2.1%
20230922 2
4.2%
20230920 1
2.1%
20230918 2
4.2%
20230914 1
2.1%
20230913 1
2.1%
20230911 1
2.1%
20230908 1
2.1%
20230907 1
2.1%

가스점검여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)4.3%
Missing1
Missing (%)2.1%
Memory size228.0 B
True
46 
False
 
1
(Missing)
 
1
ValueCountFrequency (%)
True 46
95.8%
False 1
 
2.1%
(Missing) 1
 
2.1%
2024-03-13T22:50:53.608269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

가스점검일자
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)95.7%
Missing2
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean20221297
Minimum20180302
Maximum20230920
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-13T22:50:53.725828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180302
5-th percentile20183040
Q120220837
median20230414
Q320230816
95-th percentile20230916
Maximum20230920
Range50618
Interquartile range (IQR)9978.25

Descriptive statistics

Standard deviation16183.721
Coefficient of variation (CV)0.00080033051
Kurtosis1.3753982
Mean20221297
Median Absolute Deviation (MAD)488
Skewness-1.6819675
Sum9.3017967 × 108
Variance2.6191283 × 108
MonotonicityNot monotonic
2024-03-13T22:50:53.897558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
20230809 2
 
4.2%
20230919 2
 
4.2%
20221020 1
 
2.1%
20230608 1
 
2.1%
20230818 1
 
2.1%
20230906 1
 
2.1%
20190307 1
 
2.1%
20230509 1
 
2.1%
20180618 1
 
2.1%
20230111 1
 
2.1%
Other values (34) 34
70.8%
(Missing) 2
 
4.2%
ValueCountFrequency (%)
20180302 1
2.1%
20180321 1
2.1%
20180618 1
2.1%
20190307 1
2.1%
20190325 1
2.1%
20190531 1
2.1%
20190830 1
2.1%
20200608 1
2.1%
20220103 1
2.1%
20220415 1
2.1%
ValueCountFrequency (%)
20230920 1
2.1%
20230919 2
4.2%
20230908 1
2.1%
20230906 1
2.1%
20230904 1
2.1%
20230901 1
2.1%
20230829 1
2.1%
20230824 1
2.1%
20230822 1
2.1%
20230818 1
2.1%

소방안전점검여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size180.0 B
True
48 
ValueCountFrequency (%)
True 48
100.0%
2024-03-13T22:50:54.032011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소방안전점검일자
Real number (ℝ)

Distinct42
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20220990
Minimum20150819
Maximum20230926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-13T22:50:54.166219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20150819
5-th percentile20180908
Q120221093
median20230724
Q320230907
95-th percentile20230922
Maximum20230926
Range80107
Interquartile range (IQR)9814

Descriptive statistics

Standard deviation19508.831
Coefficient of variation (CV)0.00096478117
Kurtosis3.0847716
Mean20220990
Median Absolute Deviation (MAD)194.5
Skewness-1.9845571
Sum9.7060753 × 108
Variance3.8059448 × 108
MonotonicityNot monotonic
2024-03-13T22:50:54.365155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
20230919 4
 
8.3%
20230906 2
 
4.2%
20230707 2
 
4.2%
20230901 2
 
4.2%
20230711 1
 
2.1%
20190830 1
 
2.1%
20230908 1
 
2.1%
20230414 1
 
2.1%
20190304 1
 
2.1%
20230731 1
 
2.1%
Other values (32) 32
66.7%
ValueCountFrequency (%)
20150819 1
2.1%
20180619 1
2.1%
20180907 1
2.1%
20180911 1
2.1%
20180928 1
2.1%
20190304 1
2.1%
20190830 1
2.1%
20190909 1
2.1%
20200608 1
2.1%
20220927 1
2.1%
ValueCountFrequency (%)
20230926 1
 
2.1%
20230925 1
 
2.1%
20230922 1
 
2.1%
20230921 1
 
2.1%
20230919 4
8.3%
20230914 1
 
2.1%
20230912 1
 
2.1%
20230911 1
 
2.1%
20230908 1
 
2.1%
20230907 1
 
2.1%

전기설비점검여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size180.0 B
True
48 
ValueCountFrequency (%)
True 48
100.0%
2024-03-13T22:50:54.497451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전기설비점검일자
Real number (ℝ)

Distinct41
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20218755
Minimum20150827
Maximum20230925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-13T22:50:54.607723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20150827
5-th percentile20180325
Q120221013
median20230262
Q320230907
95-th percentile20230920
Maximum20230925
Range80098
Interquartile range (IQR)9894.25

Descriptive statistics

Standard deviation18986.975
Coefficient of variation (CV)0.00093907735
Kurtosis2.8276437
Mean20218755
Median Absolute Deviation (MAD)663.5
Skewness-1.8402894
Sum9.7050023 × 108
Variance3.6050521 × 108
MonotonicityNot monotonic
2024-03-13T22:50:54.774306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
20230925 2
 
4.2%
20230912 2
 
4.2%
20230907 2
 
4.2%
20221207 2
 
4.2%
20221013 2
 
4.2%
20230913 2
 
4.2%
20230919 2
 
4.2%
20221021 1
 
2.1%
20190917 1
 
2.1%
20230828 1
 
2.1%
Other values (31) 31
64.6%
ValueCountFrequency (%)
20150827 1
2.1%
20180226 1
2.1%
20180323 1
2.1%
20180328 1
2.1%
20180917 1
2.1%
20190326 1
2.1%
20190830 1
2.1%
20190917 1
2.1%
20200424 1
2.1%
20210910 1
2.1%
ValueCountFrequency (%)
20230925 2
4.2%
20230920 1
2.1%
20230919 2
4.2%
20230915 1
2.1%
20230914 1
2.1%
20230913 2
4.2%
20230912 2
4.2%
20230908 1
2.1%
20230907 2
4.2%
20230906 1
2.1%

놀이시설 안전검사 대상여부
Boolean

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size180.0 B
True
38 
False
10 
ValueCountFrequency (%)
True 38
79.2%
False 10
 
20.8%
2024-03-13T22:50:54.931247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

놀이시설 안전검사 점검일자
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)97.4%
Missing10
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean20217054
Minimum20170905
Maximum20230922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-13T22:50:55.050128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170905
5-th percentile20171099
Q120220136
median20221068
Q320230684
95-th percentile20230915
Maximum20230922
Range60017
Interquartile range (IQR)10548

Descriptive statistics

Standard deviation19287.204
Coefficient of variation (CV)0.00095400665
Kurtosis0.99603688
Mean20217054
Median Absolute Deviation (MAD)9595.5
Skewness-1.5195361
Sum7.6824807 × 108
Variance3.7199625 × 108
MonotonicityNot monotonic
2024-03-13T22:50:55.226174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
20230914 2
 
4.2%
20230518 1
 
2.1%
20180528 1
 
2.1%
20230502 1
 
2.1%
20190904 1
 
2.1%
20230522 1
 
2.1%
20180823 1
 
2.1%
20220726 1
 
2.1%
20220113 1
 
2.1%
20220503 1
 
2.1%
Other values (27) 27
56.2%
(Missing) 10
 
20.8%
ValueCountFrequency (%)
20170905 1
2.1%
20171013 1
2.1%
20171114 1
2.1%
20180528 1
2.1%
20180823 1
2.1%
20190722 1
2.1%
20190904 1
2.1%
20211208 1
2.1%
20211224 1
2.1%
20220113 1
2.1%
ValueCountFrequency (%)
20230922 1
2.1%
20230921 1
2.1%
20230914 2
4.2%
20230913 1
2.1%
20230904 1
2.1%
20230824 1
2.1%
20230807 1
2.1%
20230726 1
2.1%
20230704 1
2.1%
20230623 1
2.1%

놀이시설 안전검사 점검결과
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
적합
38 
-
10 

Length

Max length2
Median length2
Mean length1.7916667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row적합
2nd row-
3rd row적합
4th row적합
5th row적합

Common Values

ValueCountFrequency (%)
적합 38
79.2%
- 10
 
20.8%

Length

2024-03-13T22:50:55.399440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:50:55.509721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 38
79.2%
10
 
20.8%

CCTV 설치여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size180.0 B
True
48 
ValueCountFrequency (%)
True 48
100.0%
2024-03-13T22:50:55.580396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CCTV 총 설치수
Real number (ℝ)

Distinct25
Distinct (%)52.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.1875
Minimum3
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-13T22:50:55.666513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q18
median15
Q319.25
95-th percentile32
Maximum40
Range37
Interquartile range (IQR)11.25

Descriptive statistics

Standard deviation9.3550675
Coefficient of variation (CV)0.61597152
Kurtosis0.21419415
Mean15.1875
Median Absolute Deviation (MAD)7
Skewness0.84114681
Sum729
Variance87.517287
MonotonicityNot monotonic
2024-03-13T22:50:55.796303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
16 8
16.7%
8 6
 
12.5%
4 6
 
12.5%
13 2
 
4.2%
15 2
 
4.2%
32 2
 
4.2%
10 2
 
4.2%
18 2
 
4.2%
29 2
 
4.2%
12 1
 
2.1%
Other values (15) 15
31.2%
ValueCountFrequency (%)
3 1
 
2.1%
4 6
12.5%
5 1
 
2.1%
6 1
 
2.1%
7 1
 
2.1%
8 6
12.5%
10 2
 
4.2%
11 1
 
2.1%
12 1
 
2.1%
13 2
 
4.2%
ValueCountFrequency (%)
40 1
2.1%
38 1
2.1%
32 2
4.2%
29 2
4.2%
27 1
2.1%
26 1
2.1%
24 1
2.1%
22 1
2.1%
21 1
2.1%
20 1
2.1%

CCTV 건물 안 설치수
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)47.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.416667
Minimum0
Maximum32
Zeros1
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-13T22:50:55.917491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.35
Q14.75
median8
Q314
95-th percentile25
Maximum32
Range32
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation8.002216
Coefficient of variation (CV)0.76821274
Kurtosis0.53988734
Mean10.416667
Median Absolute Deviation (MAD)5
Skewness1.0431508
Sum500
Variance64.035461
MonotonicityNot monotonic
2024-03-13T22:50:56.063790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
6 5
 
10.4%
2 5
 
10.4%
8 4
 
8.3%
7 4
 
8.3%
13 3
 
6.2%
14 3
 
6.2%
11 3
 
6.2%
12 2
 
4.2%
4 2
 
4.2%
1 2
 
4.2%
Other values (13) 15
31.2%
ValueCountFrequency (%)
0 1
 
2.1%
1 2
 
4.2%
2 5
10.4%
3 2
 
4.2%
4 2
 
4.2%
5 1
 
2.1%
6 5
10.4%
7 4
8.3%
8 4
8.3%
9 1
 
2.1%
ValueCountFrequency (%)
32 1
 
2.1%
31 1
 
2.1%
25 2
4.2%
24 1
 
2.1%
23 1
 
2.1%
21 1
 
2.1%
20 1
 
2.1%
16 1
 
2.1%
15 1
 
2.1%
14 3
6.2%

CCTV 건물 밖 설치수
Real number (ℝ)

Distinct14
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7708333
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-13T22:50:56.205294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q36
95-th percentile13.95
Maximum18
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.1165963
Coefficient of variation (CV)0.86286735
Kurtosis2.3545454
Mean4.7708333
Median Absolute Deviation (MAD)1.5
Skewness1.6680071
Sum229
Variance16.946365
MonotonicityNot monotonic
2024-03-13T22:50:56.352236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 12
25.0%
3 8
16.7%
1 6
12.5%
5 5
10.4%
4 4
 
8.3%
6 3
 
6.2%
9 2
 
4.2%
11 2
 
4.2%
16 1
 
2.1%
18 1
 
2.1%
Other values (4) 4
 
8.3%
ValueCountFrequency (%)
1 6
12.5%
2 12
25.0%
3 8
16.7%
4 4
 
8.3%
5 5
10.4%
6 3
 
6.2%
7 1
 
2.1%
8 1
 
2.1%
9 2
 
4.2%
11 2
 
4.2%
ValueCountFrequency (%)
18 1
 
2.1%
16 1
 
2.1%
15 1
 
2.1%
12 1
 
2.1%
11 2
 
4.2%
9 2
 
4.2%
8 1
 
2.1%
7 1
 
2.1%
6 3
6.2%
5 5
10.4%

공시차수
Real number (ℝ)

Distinct6
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20223.646
Minimum20182
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-13T22:50:56.498245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20182
5-th percentile20182
Q120232
median20232
Q320232
95-th percentile20232
Maximum20232
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.339525
Coefficient of variation (CV)0.00085738869
Kurtosis1.233032
Mean20223.646
Median Absolute Deviation (MAD)0
Skewness-1.7323276
Sum970735
Variance300.65913
MonotonicityNot monotonic
2024-03-13T22:50:56.657059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20232 38
79.2%
20182 4
 
8.3%
20192 3
 
6.2%
20202 1
 
2.1%
20191 1
 
2.1%
20222 1
 
2.1%
ValueCountFrequency (%)
20182 4
 
8.3%
20191 1
 
2.1%
20192 3
 
6.2%
20202 1
 
2.1%
20222 1
 
2.1%
20232 38
79.2%
ValueCountFrequency (%)
20232 38
79.2%
20222 1
 
2.1%
20202 1
 
2.1%
20192 3
 
6.2%
20191 1
 
2.1%
20182 4
 
8.3%

주소
Text

Distinct47
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-13T22:50:56.912837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length19.041667
Min length16

Characters and Unicode

Total characters914
Distinct characters43
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)95.8%

Sample

1st row서울특별시 양천구 신월로 97
2nd row서울특별시 양천구 목동서로 340
3rd row서울특별시 양천구 신월로 99
4th row서울특별시 양천구 안양천로 1009
5th row서울특별시 양천구 목동서로 130
ValueCountFrequency (%)
서울특별시 48
25.0%
양천구 48
25.0%
목동서로 5
 
2.6%
목동동로 4
 
2.1%
22 3
 
1.6%
30 3
 
1.6%
130 2
 
1.0%
280 2
 
1.0%
13 2
 
1.0%
38 2
 
1.0%
Other values (67) 73
38.0%
2024-03-13T22:50:57.392455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
144
15.8%
서 54
 
5.9%
천 49
 
5.4%
양 49
 
5.4%
구 48
 
5.3%
로 48
 
5.3%
시 48
 
5.3%
별 48
 
5.3%
특 48
 
5.3%
울 48
 
5.3%
Other values (33) 330
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 603
66.0%
Decimal Number 160
 
17.5%
Space Separator 144
 
15.8%
Dash Punctuation 7
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 54
9.0%
천 49
 
8.1%
양 49
 
8.1%
구 48
 
8.0%
로 48
 
8.0%
시 48
 
8.0%
별 48
 
8.0%
특 48
 
8.0%
울 48
 
8.0%
동 31
 
5.1%
Other values (21) 132
21.9%
Decimal Number
ValueCountFrequency (%)
1 28
17.5%
2 27
16.9%
3 22
13.8%
0 22
13.8%
4 13
8.1%
8 12
7.5%
9 11
 
6.9%
7 10
 
6.2%
6 8
 
5.0%
5 7
 
4.4%
Space Separator
ValueCountFrequency (%)
144
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 603
66.0%
Common 311
34.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 54
9.0%
천 49
 
8.1%
양 49
 
8.1%
구 48
 
8.0%
로 48
 
8.0%
시 48
 
8.0%
별 48
 
8.0%
특 48
 
8.0%
울 48
 
8.0%
동 31
 
5.1%
Other values (21) 132
21.9%
Common
ValueCountFrequency (%)
144
46.3%
1 28
 
9.0%
2 27
 
8.7%
3 22
 
7.1%
0 22
 
7.1%
4 13
 
4.2%
8 12
 
3.9%
9 11
 
3.5%
7 10
 
3.2%
6 8
 
2.6%
Other values (2) 14
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 603
66.0%
ASCII 311
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
144
46.3%
1 28
 
9.0%
2 27
 
8.7%
3 22
 
7.1%
0 22
 
7.1%
4 13
 
4.2%
8 12
 
3.9%
9 11
 
3.5%
7 10
 
3.2%
6 8
 
2.6%
Other values (2) 14
 
4.5%
Hangul
ValueCountFrequency (%)
서 54
9.0%
천 49
 
8.1%
양 49
 
8.1%
구 48
 
8.0%
로 48
 
8.0%
시 48
 
8.0%
별 48
 
8.0%
특 48
 
8.0%
울 48
 
8.0%
동 31
 
5.1%
Other values (21) 132
21.9%

Sample

교육청명교육지원청명유치원코드유치원명설립유형소방대피훈련여부소방대피훈련일자가스점검여부가스점검일자소방안전점검여부소방안전점검일자전기설비점검여부전기설비점검일자놀이시설 안전검사 대상여부놀이시설 안전검사 점검일자놀이시설 안전검사 점검결과CCTV 설치여부CCTV 총 설치수CCTV 건물 안 설치수CCTV 건물 밖 설치수공시차수주소
0서울특별시교육청강서양천교육지원청1dfcc6e7-c6ff-4843-b970-cfba072320b4서울강월초등학교병설유치원공립(병설)Y20230602Y20230703Y20230925Y20230925Y20230914적합Y2041620232서울특별시 양천구 신월로 97
1서울특별시교육청강서양천교육지원청1ecec08c-ed7f-b044-e053-0a32095ab044새서울유치원사립(사인)Y20220823Y20220530Y20230707Y20221013N<NA>-Y42220232서울특별시 양천구 목동서로 340
2서울특별시교육청강서양천교육지원청1ecec08c-ed80-b044-e053-0a32095ab044샘터유치원사립(사인)Y20230904Y20230822Y20230904Y20230906Y20230807적합Y139420232서울특별시 양천구 신월로 99
3서울특별시교육청강서양천교육지원청1ecec08c-ed81-b044-e053-0a32095ab044서울경인유치원공립(단설)Y20230908Y20221020Y20230922Y20230919Y20230518적합Y156920232서울특별시 양천구 안양천로 1009
4서울특별시교육청강서양천교육지원청1ecec08c-eec5-b044-e053-0a32095ab044솔샘유치원사립(사인)Y20180913Y20180302Y20150819Y20150827Y20180528적합Y118320182서울특별시 양천구 목동서로 130
5서울특별시교육청강서양천교육지원청1ecec08c-ef9b-b044-e053-0a32095ab044서울월촌초등학교병설유치원공립(병설)Y20230922Y20220103Y20230919Y20230912Y20230824적합Y2241820232서울특별시 양천구 목동중앙로 132
6서울특별시교육청강서양천교육지원청1ecec08c-ef9d-b044-e053-0a32095ab044솔밭유치원사립(사인)Y20181005<NA><NA>Y20180619Y20180323Y20171114적합Y42220182서울특별시 양천구 신월로10길 2-1
7서울특별시교육청강서양천교육지원청1ecec08c-f320-b044-e053-0a32095ab044원일유치원사립(법인)Y20230523Y20220415Y20230901Y20221021Y20230913적합Y2725220232서울특별시 양천구 목동동로 350
8서울특별시교육청강서양천교육지원청1ecec08c-f3d6-b044-e053-0a32095ab044서울영도초등학교병설유치원공립(병설)Y20230904N<NA>Y20230907Y20230905Y20230116적합Y63320232서울특별시 양천구 목동중앙로 70
9서울특별시교육청강서양천교육지원청1ecec08c-f448-b044-e053-0a32095ab044대한유치원사립(사인)Y20200813Y20200608Y20200608Y20200424Y20190722적합Y41320202서울특별시 양천구 오목로13길 31
교육청명교육지원청명유치원코드유치원명설립유형소방대피훈련여부소방대피훈련일자가스점검여부가스점검일자소방안전점검여부소방안전점검일자전기설비점검여부전기설비점검일자놀이시설 안전검사 대상여부놀이시설 안전검사 점검일자놀이시설 안전검사 점검결과CCTV 설치여부CCTV 총 설치수CCTV 건물 안 설치수CCTV 건물 밖 설치수공시차수주소
38서울특별시교육청강서양천교육지원청1ecec08d-0c03-b044-e053-0a32095ab044빛나유치원사립(사인)Y20230718Y20230410Y20230707Y20221118Y20221117적합Y52320232서울특별시 양천구 목동로 212
39서울특별시교육청강서양천교육지원청1ecec08d-0c04-b044-e053-0a32095ab044서울신기초등학교병설유치원공립(병설)Y20230904Y20230919Y20230905Y20230925Y20230921적합Y2161520232서울특별시 양천구 신정로 292
40서울특별시교육청강서양천교육지원청1ecec08d-0e6c-b044-e053-0a32095ab044경성유치원사립(사인)Y20230626Y20230711Y20230117Y20230308Y20230623적합Y1511420232서울특별시 양천구 목동로3길 57
41서울특별시교육청강서양천교육지원청1ecec08d-0e6d-b044-e053-0a32095ab044등촌유치원사립(사인)Y20230530Y20230809Y20230718Y20230908N<NA>-Y1611520232서울특별시 양천구 목동중앙북로8길 46
42서울특별시교육청강서양천교육지원청1ecec08d-0ef0-b044-e053-0a32095ab044꿈나무유치원사립(사인)Y20230904Y20221011Y20230919Y20221020Y20220420적합Y1612420232서울특별시 양천구 목동서로 280
43서울특별시교육청강서양천교육지원청1fc6dd86-cccf-d1d2-e053-0a32095ad1d2목동유치원사립(사인)Y20230925Y20230829Y20230405Y20221207Y20221017적합Y3225720232서울특별시 양천구 오목로42길 13
44서울특별시교육청강서양천교육지원청8abcadee-6df5-4c85-9e38-cba5a2d519a5서울양동초등학교병설유치원공립(병설)Y20230904Y20230904Y20230919Y20230904N<NA>-Y26151120232서울특별시 양천구 오목로23길 24
45서울특별시교육청강서양천교육지원청9c26aa7f-0f07-4613-9136-4984c723803f꿈꾸는유치원사립(사인)Y20230918Y20220901Y20230919Y20230321Y20211224적합Y1614220232서울특별시 양천구 오목로4길 8
46서울특별시교육청강서양천교육지원청a59a057e-4f5c-411a-bb2a-60068691c766세신유치원사립(법인)Y20230831Y20230220Y20230314Y20221209N<NA>-Y1813520232서울특별시 양천구 목동동로1길 38
47서울특별시교육청강서양천교육지원청d72d2e90-cf0d-4a9b-8697-a47e692aa3ea서울신정유치원공립(단설)Y20230914Y20230724Y20230912Y20230907Y20211208적합Y32201220232서울특별시 양천구 신정로7길 81-4